code: def gen_boxes(count, center):
      len = 10
      len_half = len / 2.0
      ret = np.tile(
          np.array(
              [
                  center[0] - len_half,
                  center[1] - len_half,
                  center[0] + len_half,
                  center[1] + len_half,
              ]
          ).astype(np.float32),
          (count, 1),
      )
      return ret
  
file_path: pytorch/caffe2/python/operator_test/box_with_nms_limit_op_test.py
imports: from caffe2.python import core
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  from hypothesis import given, settings
  import hypothesis.strategies
  import unittest
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: gen_boxes(count, center) and returns: ret